Data Science Engineer

We are looking for a strong Data Science Engineer with good analytical skills who can effectively work in an agile environment with cross-functional teams responsible for product design, integration and testing.

As part of the Oracle Retail Science R&D group, you will be working with data scientists, software developers and QA team to build data driven applications that solve retail business problems. Our team develops new ways to help retailers forecast sales, set prices, plan assortments and categories, and optimize their supply chain execution. Our customers are the major retailers in all market segments and geographies. Some of the products developed by this group are listed here: https://www.oracle.com/retail/products

Career Level - IC3

Responsibilities

The Data Science Engineer is responsible for all aspects of front-end and analytics development including UI development of web applications, Web Services design/development, design and implementation of large-scale data mining and analytics processes, and implementing analytics algorithms in Java/Python. 

• Develop Java and JS code for web applications UI
• Design and develop RESTful Web Services
• Design and implement end-to-end flow for executing large-scale data mining and analytics processes using platforms like Spark and Kafka
• Work with Data Scientists to understand the business problems and the analytics solutions and implement different algorithms in Java/Python 
• Identify & address application issues that affect application integrity
• Ensure that the UI design fulfills functional & technical requirements, including design-for-performance
• Analyze and ensure efficient transition of all technical design documents
• Work effectively with Tech leads, Scientist and Data Science Developers to create and maintain the overall data architecture, priorities and success measures for the enterprise
• Review the deliverables throughout development to ensure quality & traceability to requirements and adherence to all quality management plans & standards

Qualifications

• Strong software development experience
• Strong knowledge and experience in object-oriented programming, Java, Python, JavaScript and HTML.
• Strong knowledge and experience in design and development of RESTful Web Services
• Strong knowledge and experience in using platforms for parallel processing and job streaming (like Spark and Kafka).
• Experience in developing responsive web applications
• Experience with developing unit tests
• Experience with Linux/Unix operating system
• Experience with Java frameworks like Spring
• Knowledge of relational databases
• knowledge of and ability to write SQL queries
• Good analytical skills and understanding of basics concepts in data science
• Experience working on analytic/data science projects like optimization and data mining is a plus
• Able to balance and prioritize multiple concurrent projects effectively.
• Eager to learn and work in an agile environment
• Self-motivated, responsible, and accountable
• Excellent communication skills
• Able to work with cross-functional teams responsible for product design, integration and testing
• Bachelor's or Masters degree in Computer Science or equivalent years of experience in related field.
• 5+ years in a developing, modeling, and deploying enterprise solutions

  Nice to Have:

• Experience building web applications with Oracle JET constituent technologies: HTML5, JavaScript, TypeScript, Knockout, jQuery, RequireJs, Node.js, CSS3 and SASS
• Experience working on analytic/data science projects like optimization and data mining
• Experience with ODI and OBIEE
• Experience using Oracle Data Visualizer
• Experience using Oracle APEX
• Experience developing cloud native applications and related technologies including containers, Kubernetes, Helm, etc.